In the statement made by Nvidia, it was stated that Google Quantum AI will use NVIDIA’s Eos supercomputer to simulate the physics of quantum processors, and that this will help overcome the current limitations of quantum computing hardware.
The statement noted that quantum computers face a challenge called “noise” that limits the number of operations they can perform before errors start to occur, and that these prevent computers from working effectively for longer tasks.
It was emphasized in the statement that Google Quantum AI will use NVIDIA’s technology to run simulations that help understand and reduce noise, and that these simulations are expensive, but by using Google’s CUDA-Q platform, it can be performed on the NVIDIA Eos supercomputer at a much lower cost.
In the statement, it was reported that thanks to Google’s CUDA-Q platform and NVIDIA’s graphics processing units, noisy simulations that would take a week can be done in a few minutes.
It was noted in the statement that the software used for these simulations will be made available to other engineers through the CUDA-Q platform, and that the collaboration aims to make quantum computers more practical to solve real-world problems in the future.
